How AI and Deep Learning are Driving Mobile App Personalization

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With new technological advancements occurring almost constantly, it shouldn’t come as a surprise to many that artificial intelligence and deep learning have found their way into our mobile apps. So, what does this mean for our app experience?

Much More Than Siri and Alexa

Siri, Alexa, and other personal assistants aren’t the only types of AI that have made their way onto our mobile devices. Many apps have started to use AI and deep learning functionalities to promote a more personalized user experience.

Spotify, one of the largest music streaming services in the world, is one of the many companies that have decided to use AI/deep learning techniques to improve their user’s experience. This is due in part to their acquisition of a new API. Spotify will use this new API to improve the search, and recommendation functions within the app. The API is able to use the data gathered from Spotify to provide more accurate, unique and personal recommendations.

Data, Data, and More Data

There are many other apps that also have AIs analyze their large amounts of data. They are also used for app analytics. This helps developers see how their apps are being used, and how receptive people have been to the current version of the app. This helps them decide which content they should prioritize for future development in order to improve the app.

Many times, apps also use this data to cater personal notifications to an individual user. These apps use AI to recognize patterns in user behavior. Many times this type of pattern recognition is the result of data analysis done by an AI. This is why sometimes you’ll receive a notification on your phone when it first connects to your car, suggesting the ETA to a destination you frequent at that time of day (commute to/from work, etc.).

Retailers have also started to make use of AI too. Both Starbucks and Taco Bell have instituted AI technology into their apps in order to personalize the experience for their users. For example, Taco Bell’s app, TacoBot, is capable of recommending food based on data gathered from previous orders. Other retailers use the data gathered from users’ searches to provide a more personalized experience.

AI: Endless Possibilities for a Limitless Future

Apps, and more specifically AI-enabled “smart-apps,” are here to stay. Artificial intelligence is still a very new technology, however it’s already proven to be extremely useful. It’s also very likely that we will see AI used more and more in our mobile apps well into the future.

About the Author:

How AI and Deep Learning are Driving Mobile App Personalization

Alma Causey is a Freelance writer by day and sports fan by night. She writes about tech education and health related issues. Live simply, give generously, watch football and a technology lover.

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